27 papers:
CASE-2015-ChenW #design #probability #robust- H∞ robust filter design for a class of nonlinear stochastic poisson jump systems (BSC, CFW), pp. 1557–1561.
ICML-2015-GanCHCC #analysis #modelling #scalability #topic- Scalable Deep Poisson Factor Analysis for Topic Modeling (ZG, CC, RH, DEC, LC), pp. 1823–1832.
ICML-2015-LloydGOR #process- Variational Inference for Gaussian Process Modulated Poisson Processes (CML, TG, MAO, SJR), pp. 1814–1822.
KDD-2015-ScheinPBW #multi- Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts (AS, JWP, DMB, HMW), pp. 1045–1054.
KDD-2015-WangCMBYR #predict- Dynamic Poisson Autoregression for Influenza-Like-Illness Case Count Prediction (ZW, PC, SRM, JSB, JY, NR), pp. 1285–1294.
KDD-2015-ZhangW #recommendation- A Collective Bayesian Poisson Factorization Model for Cold-start Local Event Recommendation (WZ, JW), pp. 1455–1464.
RecSys-2015-CharlinRMB- Dynamic Poisson Factorization (LC, RR, JM, DMB), pp. 155–162.
ICML-c1-2014-InouyeRD #dependence #topic #word- Admixture of Poisson MRFs: A Topic Model with Word Dependencies (DI, PDR, ISD), pp. 683–691.
STOC-2013-LiY #approximate #combinator #optimisation #probability- Stochastic combinatorial optimization via poisson approximation (JL, WY), pp. 971–980.
ICML-c3-2013-SimsekliCY #learning #matrix #modelling- Learning the β-Divergence in Tweedie Compound Poisson Matrix Factorization Models (US, ATC, YKY), pp. 1409–1417.
KDD-2013-IwataSG #online #process #social- Discovering latent influence in online social activities via shared cascade poisson processes (TI, AS, ZG), pp. 266–274.
STOC-2012-DaskalakisDS #learning- Learning poisson binomial distributions (CD, ID, RAS), pp. 709–728.
ICPR-2012-GuptaPV #parametricity- A nonparametric Bayesian Poisson gamma model for count data (SKG, DQP, SV), pp. 1815–1818.
ICPR-2010-ShimosakaINSM #detection #process- Detecting Human Activity Profiles with Dirichlet Enhanced Inhomogeneous Poisson Processes (MS, TI, HN, TS, TM), pp. 4384–4387.
DAC-2009-ShiCHMTHW #analysis #gpu #grid #network #performance #power management- GPU friendly fast Poisson solver for structured power grid network analysis (JS, YC, WH, LM, SXDT, PHH, XW), pp. 178–183.
ICML-2009-AdamsMM #parametricity #process- Tractable nonparametric Bayesian inference in Poisson processes with Gaussian process intensities (RPA, IM, DJCM), pp. 9–16.
SIGIR-2009-NaN #probability #retrieval- A 2-poisson model for probabilistic coreference of named entities for improved text retrieval (SHN, HTN), pp. 275–282.
SIGIR-2007-MeiFZ #case study #generative #information retrieval #query- A study of Poisson query generation model for information retrieval (QM, HF, CZ), pp. 319–326.
ICML-2006-GehlerHW #adaptation #information retrieval #recognition- The rate adapting poisson model for information retrieval and object recognition (PVG, AH, MW), pp. 337–344.
KDD-2006-IhlerHS #adaptation #detection #process- Adaptive event detection with time-varying poisson processes (ATI, JH, PS), pp. 207–216.
SIGIR-2003-Roelleke #probability- A frequency-based and a poisson-based definition of the probability of being informative (TR), pp. 227–234.
ICPR-v3-2000-NowakF #segmentation- Unsupervised Segmentation of Poisson Data (RDN, MATF), pp. 3159–3162.
KDD-2000-Farahat #hybrid #process- Hybrid Poisson process (AF), pp. 474–479.
SIGIR-1994-RobertsonW #approximate #effectiveness #probability #retrieval- Some Simple Effective Approximations to the 2-Poisson Model for Probabilistic Weighted Retrieval (SER, SW), pp. 232–241.
SIGIR-1992-Margulis #documentation #modelling #named- N-Poisson — Document Modelling (ELM), pp. 177–189.
ICSE-1984-MusaO #execution #metric #reliability- A Logarithmic Poisson Execution Time Model for Software Reliability Measurement (JDM, KO), pp. 230–238.
SIGIR-1983-RaghavanSY #evaluation #using- Evaluation of The 2-Poisson Model as a Basis for Using Term Frequency Data in Searching (VVR, HPS, CTY), pp. 88–100.